Investigating power density and the degree of nonlinearity in intrinsic components of anesthesia EEG by the hilbert-huang transform: An example using ketamine and alfentanil

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題名:	Investigating power density and the degree of nonlinearity in intrinsic components of anesthesia EEG by the hilbert-huang transform: An example using ketamine and alfentanil
作者:	黃鍔;Tsai, Feng-Fang;Fan, Shou-Zen;Lin, Yi-Shiuan;Huang, Norden E.;Yeh, Jia-Rong
貢獻者:	認知智慧與精準健康照護研究中心
關鍵詞:	Adaptive filters;Alfentanil;Alfentanil - administration & dosage;Alfentanil - chemistry;Algorithms;Anesthesia;Anesthesia - methods;Anesthesiology;Applied mathematics;Biology and Life Sciences;Biomarkers;Brain research;Consciousness;Data analysis;Databases, Factual;Decomposition;Density;Distortion;EEG;Electroencephalography;Empirical analysis;Engineering;Engineering and Technology;Filter banks;Fluid mechanics;Fourier transforms;Frequencies;Humans;Information processing;Ketamine;Ketamine - administration & dosage;Ketamine - chemistry;Mathematical research;Medicine;Medicine and Health Sciences;Monitoring, Intraoperative;Monitoring, Intraoperative - methods;Neurons;Neurons - physiology;Noise;Nonlinear Dynamics;Nonlinear systems;Nonlinear theories;Nonlinearity;Oscillometry;Oximetry;Patient outcomes;Reproducibility of Results;Research and Analysis Methods;Researchers;Risk;Signal processing;Signal Processing, Computer-Assisted;Studies;Surgical Procedures, Operative;Time series
日期:	2016-12-01
上傳時間:	2026-04-23 14:26:26 (UTC+8)
出版者:	Public Library of Science;United States: Public Library of Science
摘要:	摘要： Empirical mode decomposition (EMD) is an adaptive filter bank for processing nonlinear and non-stationary signals, such as electroencephalographic (EEG) signals. EMD works well to decompose a time series into a set of intrinsic mode functions with specific frequency bands. An IMF therefore represents an intrinsic component on its correspondingly intrinsic frequency band. The word of 'intrinsic' means the frequency is totally adaptive to the nature of a signal. In this study, power density and nonlinearity are two critical parameters for characterizing the amplitude and frequency modulations in IMFs. In this study, a nonlinearity level is quantified using degree of waveform distortion (DWD), which represents the characteristic of waveform distortion as an assessment of the intra-wave modulation of an IMF. In the application of anesthesia EEG analysis, the assessments of power density and DWD for a set of IMFs represent dynamic responses in EEG caused by two different anesthesia agents, Ketamine and Alfentanil, on different frequency bands. Ketamine causes the increase of power density and the decrease of nonlinearity on γ-band neuronal oscillation, which cannot be found EEG responses of group B using Alfentanil. Both agents cause an increase of power density and a decrease of nonlinearity on β-band neuronal oscillation accompany with a loss of consciousness. Moreover, anesthesia agents cause the decreases of power density and nonlinearity (i.e. DWD) for the low-frequency IMFs. 其他題名： PLoS One 出版者： United States: Public Library of Science 出版日期： 2016-12-14 出處： PloS one, 2016-12, Vol.11 (12), p.e0168108 資源來源： ProQuest SciTech Premium Collection Natural Science Collection Agricultural & Environmental Science Collection 版權： COPYRIGHT 2016 Public Library of Science 版權： 2016 Tsai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 版權： 2016 Tsai et al 2016 Tsai et al 識別號： ISSN: 1932-6203 識別號： EISSN: 1932-6203 識別號： DOI: 10.1371/journal.pone.0168108 識別號： PMID: 27973590
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